Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5C2D8317014763742D382CEB362672EA1B38249EF560914A3F9839D4BE7E58CE7365E |
|
CONTENT
ssdeep
|
768:sny5NlycUOnK5z44KPX/loEKTL7sOy2+y9BH4crIe:WcUOaLEKTL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cc3c1c46c672b |
|
VISUAL
aHash
|
fb8f819b9fcffffe |
|
VISUAL
dHash
|
23393b37351533d8 |
|
VISUAL
wHash
|
b18f81818d85d9fe |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
23393b37351533d8,b5b23a1d5c6c6e15 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.